Kyle M. Brown

854 citations
34 papers · 521 · h-index 10

Impact in

Papers in

Kyle M. Brown

32 papers receiving 485 citations

Peers

Kyle M. Brown
Comparison fields: 5 of 75
  • Astronomy and Astrophysics 257
  • Development 20
  • Software 20
  • Information Systems 87
  • Media Technology 33
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Citations per year

Countries citing papers authored by Kyle M. Brown

Since Specialization
Citations

This map shows the geographic impact of Kyle M. Brown's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kyle M. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle M. Brown more than expected).

Fields of papers citing papers by Kyle M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle M. Brown. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kyle M. Brown. The network helps show where Kyle M. Brown may publish in the future.

Co-authors

The 25 scholars most cited alongside Kyle M. Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kyle M. Brown Line = papers co-authored together Kyle M. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012135
2 2020110
3
The design patterns Smalltalk companion
199851
4 201641
5 200828
6 200721
7
Implementation patterns for microservices architectures
201618
8
INCREASING CLASSIFICATION ACCURACY OF COASTAL HABITATS USING INTEGRATED AIRBORNE REMOTE SENSING
200415
9 201510
10
Persistence in the Enterprise: A Guide to Persistence Technologies
200810
11
Crossing Chasms: a pattern language for object-RDBMS integration: the static patterns
19968
12
Enterprise Java programming with IBM WebSphere
20017
13 20147
14 20226
15 20126
16 20106
17 20056
18 20184
19 20044
20
Fluorocarbon Contamination from the Drill on the Mars Science Laboratory: Potential Science Impact on Detecting Martian Organics by Sample Analysis at Mars (SAM)
20134

About Kyle M. Brown

Kyle M. Brown is a scholar working on Astronomy and Astrophysics, Computer Networks and Communications, Aerospace Engineering, Development and Information Systems, having authored 34 papers that have together received 521 indexed citations. Recurring topics across this work include Planetary Science and Exploration (10 papers), Astro and Planetary Science (8 papers), Space Exploration and Technology (7 papers), Peer-to-Peer Network Technologies (4 papers), Advanced Manufacturing and Logistics Optimization (3 papers), Software Engineering and Design Patterns (3 papers), Caching and Content Delivery (3 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Astronomy and Astrophysics (257 citations), Development (20 citations), Software (20 citations), Information Systems (87 citations) and Media Technology (33 citations). Kyle M. Brown has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Bobby Woolf, Sherman R. Alpert, Peter M. Atkinson, Giles M. Foody, Louise Jandura, Robert Charles Anderson, Luther W. Beegle, Joel Hurowitz, Brook S. Kennedy and Scott McCloskey. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, International Journal of Remote Sensing, Space Science Reviews, Review of Scientific Instruments and Icarus.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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